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001 978-3-031-16704-1
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008 221107s2022 sz | s |||| 0|eng d
020 _a9783031167041
_9978-3-031-16704-1
024 7 _a10.1007/978-3-031-16704-1
_2doi
050 4 _aHF54.5-.56
072 7 _aKJQ
_2bicssc
072 7 _aCOM039000
_2bisacsh
072 7 _aKJQ
_2thema
082 0 4 _a658.4038
_223
100 1 _aPincay Nieves, Jhonny.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aSmart Urban Logistics
_h[electronic resource] :
_bImproving Delivery Services by Computational Intelligence /
_cby Jhonny Pincay Nieves.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXXIII, 170 p. 1 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aFuzzy Management Methods,
_x2196-4149
505 0 _aPart I. Motivation & Objectives -- Chapter 1. Introduction -- Part II. Theoretical Background -- Chapter 2. Insights into Smart Cities and Smart Logistics -- Chapter 3. Computational Intelligence -- Part III. Applications -- Chapter 4. Fuzzifying Geospatial Traffic Data to Convey Information -- Chapter 5. Ethical Classification of Postal Customers -- Part IV. Framework and Implementation -- Chapter 6. The Fuzzy Ant Routing (FAR) Conceptual Framework -- Chapter 7. The FAR Artifact -- Part V. Conclusions -- Chapter 8. Outlook and Conclusions.
520 _aLast-mile delivery in cities, where the main problems are the traffic situation and ensuring access to customers’ homes while maintaining their privacy, poses a substantial logistical challenge. This book explores how the service area of mobility, especially last-mile delivery, can be improved and smartified. It demonstrates how a design science method and a transdisciplinary approach have been used to create a traffic area analysis tool that can accommodate the uncertainty and incompleteness of geospatial data; a linguistic traffic merging tool; and a customer classifier. In terms of developing the optimization artifacts, the socio-economic and logistical aspects of cities were considered and fuzzy logic and nature-inspired swarm intelligence (fuzzy ant colony optimization) were applied as basic principles. Pursuing a transdisciplinary approach, the book offers both practical know-how from the industry and theoretical findings, making it a valuable asset for researchers and practitioners in the fields of mobility and logistics.
650 0 _aBusiness information services.
650 0 _aBusiness logistics.
650 0 _aApplication software.
650 0 _aSoftware engineering
_xManagement.
650 1 4 _aBusiness Information Systems.
650 2 4 _aLogistics.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aSoftware Management.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031167034
776 0 8 _iPrinted edition:
_z9783031167058
776 0 8 _iPrinted edition:
_z9783031167065
830 0 _aFuzzy Management Methods,
_x2196-4149
856 4 0 _uhttps://doi.org/10.1007/978-3-031-16704-1
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c174437
_d174437